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- W2765441486 abstract "Background: Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first." @default.
- W2765441486 created "2017-11-10" @default.
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- W2765441486 date "2017-10-31" @default.
- W2765441486 modified "2023-09-27" @default.
- W2765441486 title "Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach" @default.
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- W2765441486 doi "https://doi.org/10.2196/medinform.8531" @default.
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